Financial Documents and Bank Statement Analysis

Tailor-made AI data extraction systems for processing tax forms and bank statements

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Key Benefits

Streamline Document Management

Automatically sort and manage financial documents, from client onboarding forms to transaction records, ensuring compliance and boosting operational efficiency.

Enhance Transaction Data

Clean up unclear billing descriptors into neat transactions automatically, reducing customer service inquiries and improving the overall customer experience

Accelerate KYC Compliance

Speed up the approval and onboarding of new customers by automating the processing of Know Your Customer (KYC) documents

Invoice automated processing
  • Invoice Numbers
  • Transaction Amounts
  • Payment Terms
  • Vendor Details
  • Purchase Order Numbers
  • Tax Amounts
  • Bank Account Information
  • Currency Types
  • Date of Transactions
  • Financial Statement Line Items

Use Cases

Invoice Processing

Automating the extraction and processing of data from invoices for faster and more accurate accounts payable operations

Expense Management

Streamlining the processing of expense reports and receipts to ensure timely reimbursement and accurate record-keeping

Financial Auditing

Utilizing AI and machine learning to quickly gather and analyze financial data, supporting comprehensive and efficient audit processes

Tax Document Processing

Automating the extraction and organization of data from tax documents to streamline tax preparation and filing

Bank Statement Reconciliation

Using artificial intelligence to match and reconcile data from bank statements with internal financial records, enhancing the accuracy of financial reporting

Credit Analysis

Facilitating the rapid assessment of credit applications by extracting and analyzing financial data from various documents

Regulatory Compliance Reporting

Automating the extraction of relevant data from financial documents to ensure compliance with regulatory reporting requirements

Financial Forecasting

Leveraging extracted data for predictive analysis and financial forecasting, aiding in strategic planning

Loan Processing

Streamlining the extraction and analysis of financial information in loan applications to accelerate decision-making processes

Investment Portfolio Management

Using OCR and machine learning to process and analyze financial documents related to investments, aiding in portfolio management and decision-making

How We Work

Versatile Document Processing

We build document processing software capable of handling a wide variety of document types, from simple text files to complex structured forms. Our AI team creates custom solutions for processing of any document types, including .PDF, .JPEG, .TIFF, and more.

Seamless Integration

Our tailor-made AI data extraction solutions are easy to integrate into your existing workflows. We not only develop excellent document processing software, but also integrate it into any CRM or existing digital infrastructure to ensure a smooth transition.

Advanced Expertise

We have over N AI developers with 10+ years of experience in AI and machine learning development, like OCR, deep learning, and computer vision. We can boost your team's capacity with our expert professionals or set up a dedicated team for full-cycle project development.

Our Services

Frequently Asked Questions

IDP software is an advanced document processing solution that employs artificial intelligence, machine learning, and natural language processing to extract and process data from complex documents accurately.
IDP in AI refers to Intelligent Document Processing, a technology that uses artificial intelligence to automatically process, extract, and interpret information from various types of documents, beyond traditional OCR capabilities.
An example of document processing is optical character recognition (OCR) software that scans and converts printed or handwritten text from documents into digital data, enabling efficient search, editing, and processing.
Document processing software is a tool or system that automates the handling, analysis, and management of documents, converting unstructured data into structured data, and facilitating tasks like data extraction, categorization, and storage.
We use technologies like OCR engines, artificial intelligence frameworks (such as TensorFlow or PyTorch), natural language processing libraries, and cloud services for scalable data storage and processing.
The development time for a document processing software application varies based on the complexity of the documents, the required processing capabilities, and integration needs. It can range from several weeks to a few months.
Yes, our company offers ongoing technical support and maintenance services for applications after project completion. This includes troubleshooting, updates, and enhancements to ensure the application remains functional, secure, and up-to-date with the latest technology and user needs.
We work with Fortune 500 companies and startups. Our notable clients include American Airlines, IBM, Microsoft, Samsung, Mitsubishi Electric, Burger King, Delta, and more.
Visit Clutch or contact us directly.
We have reviews on Clutch. We can provide direct references from our clients too. Contact us for more details.
When a document processing software project is finished, you receive a customized application capable of efficiently handling and processing your specific document types, complete with user interfaces, integration capabilities, and documentation.
Yes, we do.
We will sign an NDA before the project start. The development contract will also have a section dedicated to confidentiality and ownership of the intellectual property.

Let's Work Together!

Do you want to know the total cost of development and realization of the project? Tell us about your requirements, our specialists will contact you as soon as possible.